Overview

Dataset statistics

Number of variables28
Number of observations4930
Missing cells5940
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory283.0 B

Variable types

Numeric27
Categorical1

Warnings

Date has a high cardinality: 4930 distinct values High cardinality
Rainfall_Gallicano is highly correlated with Rainfall_Calavorno and 1 other fieldsHigh correlation
Rainfall_Borgo_a_Mozzano is highly correlated with Rainfall_Calavorno and 1 other fieldsHigh correlation
Rainfall_Calavorno is highly correlated with Rainfall_Gallicano and 2 other fieldsHigh correlation
Rainfall_Fabbriche_di_Vallico is highly correlated with Rainfall_Gallicano and 2 other fieldsHigh correlation
Temperature_Orentano is highly correlated with Temperature_Monte_Serra and 1 other fieldsHigh correlation
Temperature_Monte_Serra is highly correlated with Temperature_Orentano and 1 other fieldsHigh correlation
Temperature_Lucca_Orto_Botanico is highly correlated with Temperature_Orentano and 1 other fieldsHigh correlation
Rainfall_Piaggione has 365 (7.4%) missing values Missing
Depth_to_Groundwater_LT2 has 493 (10.0%) missing values Missing
Depth_to_Groundwater_SAL has 385 (7.8%) missing values Missing
Depth_to_Groundwater_PAG has 1123 (22.8%) missing values Missing
Depth_to_Groundwater_CoS has 801 (16.2%) missing values Missing
Depth_to_Groundwater_DIEC has 1660 (33.7%) missing values Missing
Hydrometry_Monte_S_Quirico has 91 (1.8%) missing values Missing
Hydrometry_Piaggione has 1016 (20.6%) missing values Missing
df_index is uniformly distributed Uniform
Date is uniformly distributed Uniform
df_index has unique values Unique
Date has unique values Unique
Rainfall_Gallicano has 2981 (60.5%) zeros Zeros
Rainfall_Pontetetto has 3102 (62.9%) zeros Zeros
Rainfall_Monte_Serra has 2919 (59.2%) zeros Zeros
Rainfall_Orentano has 2962 (60.1%) zeros Zeros
Rainfall_Borgo_a_Mozzano has 3102 (62.9%) zeros Zeros
Rainfall_Piaggione has 2956 (60.0%) zeros Zeros
Rainfall_Calavorno has 2870 (58.2%) zeros Zeros
Rainfall_Croce_Arcana has 3021 (61.3%) zeros Zeros
Rainfall_Tereglio_Coreglia_Antelminelli has 2919 (59.2%) zeros Zeros
Rainfall_Fabbriche_di_Vallico has 2810 (57.0%) zeros Zeros
Temperature_Monte_Serra has 91 (1.8%) zeros Zeros
Temperature_Ponte_a_Moriano has 1480 (30.0%) zeros Zeros
Volume_CSA has 2557 (51.9%) zeros Zeros
Volume_CSAL has 2557 (51.9%) zeros Zeros

Reproduction

Analysis started2021-01-08 17:28:10.847124
Analysis finished2021-01-08 17:30:31.254711
Duration2 minutes and 20.41 seconds
Software versionpandas-profiling v2.10.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct4930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5688.5
Minimum3224
Maximum8153
Zeros0
Zeros (%)0.0%
Memory size38.6 KiB
2021-01-08T23:00:31.396328image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum3224
5-th percentile3470.45
Q14456.25
median5688.5
Q36920.75
95-th percentile7906.55
Maximum8153
Range4929
Interquartile range (IQR)2464.5

Descriptive statistics

Standard deviation1423.312744
Coefficient of variation (CV)0.2502087974
Kurtosis-1.2
Mean5688.5
Median Absolute Deviation (MAD)1232.5
Skewness0
Sum28044305
Variance2025819.167
MonotocityStrictly increasing
2021-01-08T23:00:31.578923image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40981
 
< 0.1%
76291
 
< 0.1%
35431
 
< 0.1%
76371
 
< 0.1%
55881
 
< 0.1%
35391
 
< 0.1%
76331
 
< 0.1%
55841
 
< 0.1%
35351
 
< 0.1%
55801
 
< 0.1%
Other values (4920)4920
99.8%
ValueCountFrequency (%)
32241
< 0.1%
32251
< 0.1%
32261
< 0.1%
32271
< 0.1%
32281
< 0.1%
32291
< 0.1%
32301
< 0.1%
32311
< 0.1%
32321
< 0.1%
32331
< 0.1%
ValueCountFrequency (%)
81531
< 0.1%
81521
< 0.1%
81511
< 0.1%
81501
< 0.1%
81491
< 0.1%
81481
< 0.1%
81471
< 0.1%
81461
< 0.1%
81451
< 0.1%
81441
< 0.1%

Date
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct4930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size322.7 KiB
06/01/2018
 
1
17/09/2019
 
1
02/11/2011
 
1
19/11/2008
 
1
02/12/2013
 
1
Other values (4925)
4925 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters49300
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4930 ?
Unique (%)100.0%

Sample

1st row01/01/2007
2nd row02/01/2007
3rd row03/01/2007
4th row04/01/2007
5th row05/01/2007
ValueCountFrequency (%)
06/01/20181
 
< 0.1%
17/09/20191
 
< 0.1%
02/11/20111
 
< 0.1%
19/11/20081
 
< 0.1%
02/12/20131
 
< 0.1%
21/05/20091
 
< 0.1%
25/12/20191
 
< 0.1%
19/10/20151
 
< 0.1%
26/09/20171
 
< 0.1%
18/01/20131
 
< 0.1%
Other values (4920)4920
99.8%
2021-01-08T23:00:31.954137image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
06/01/20181
 
< 0.1%
17/09/20191
 
< 0.1%
02/11/20111
 
< 0.1%
19/11/20081
 
< 0.1%
02/12/20131
 
< 0.1%
21/05/20091
 
< 0.1%
25/12/20191
 
< 0.1%
19/10/20151
 
< 0.1%
26/09/20171
 
< 0.1%
18/01/20131
 
< 0.1%
Other values (4920)4920
99.8%

Most occurring characters

ValueCountFrequency (%)
012640
25.6%
/9860
20.0%
28373
17.0%
18237
16.7%
81620
 
3.3%
71619
 
3.3%
91596
 
3.2%
31527
 
3.1%
51285
 
2.6%
61272
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number39440
80.0%
Other Punctuation9860
 
20.0%

Most frequent character per category

ValueCountFrequency (%)
012640
32.0%
28373
21.2%
18237
20.9%
81620
 
4.1%
71619
 
4.1%
91596
 
4.0%
31527
 
3.9%
51285
 
3.3%
61272
 
3.2%
41271
 
3.2%
ValueCountFrequency (%)
/9860
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common49300
100.0%

Most frequent character per script

ValueCountFrequency (%)
012640
25.6%
/9860
20.0%
28373
17.0%
18237
16.7%
81620
 
3.3%
71619
 
3.3%
91596
 
3.2%
31527
 
3.1%
51285
 
2.6%
61272
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII49300
100.0%

Most frequent character per block

ValueCountFrequency (%)
012640
25.6%
/9860
20.0%
28373
17.0%
18237
16.7%
81620
 
3.3%
71619
 
3.3%
91596
 
3.2%
31527
 
3.1%
51285
 
2.6%
61272
 
2.6%

Rainfall_Gallicano
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct307
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.036064909
Minimum0
Maximum318.8
Zeros2981
Zeros (%)60.5%
Memory size38.6 KiB
2021-01-08T23:00:32.113207image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile29.91
Maximum318.8
Range318.8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.61110301
Coefficient of variation (CV)2.901293623
Kurtosis76.12073941
Mean5.036064909
Median Absolute Deviation (MAD)0
Skewness6.537086642
Sum24827.8
Variance213.484331
MonotocityNot monotonic
2021-01-08T23:00:32.302942image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02981
60.5%
0.2291
 
5.9%
0.488
 
1.8%
0.677
 
1.6%
0.861
 
1.2%
1.444
 
0.9%
1.243
 
0.9%
2.232
 
0.6%
132
 
0.6%
1.632
 
0.6%
Other values (297)1249
25.3%
ValueCountFrequency (%)
02981
60.5%
0.2291
 
5.9%
0.488
 
1.8%
0.677
 
1.6%
0.861
 
1.2%
132
 
0.6%
1.243
 
0.9%
1.444
 
0.9%
1.632
 
0.6%
1.826
 
0.5%
ValueCountFrequency (%)
318.81
< 0.1%
2121
< 0.1%
191.81
< 0.1%
161.61
< 0.1%
141.21
< 0.1%
137.81
< 0.1%
1371
< 0.1%
134.81
< 0.1%
1321
< 0.1%
129.21
< 0.1%

Rainfall_Pontetetto
Real number (ℝ≥0)

ZEROS

Distinct252
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.566612576
Minimum0
Maximum146.6
Zeros3102
Zeros (%)62.9%
Memory size38.6 KiB
2021-01-08T23:00:32.501097image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2
95-th percentile22.8
Maximum146.6
Range146.6
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation10.07735615
Coefficient of variation (CV)2.825469808
Kurtosis34.62466195
Mean3.566612576
Median Absolute Deviation (MAD)0
Skewness4.920393489
Sum17583.4
Variance101.553107
MonotocityNot monotonic
2021-01-08T23:00:32.695576image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03102
62.9%
0.2326
 
6.6%
0.4101
 
2.0%
0.663
 
1.3%
0.859
 
1.2%
1.248
 
1.0%
1.440
 
0.8%
138
 
0.8%
2.234
 
0.7%
1.632
 
0.6%
Other values (242)1087
 
22.0%
ValueCountFrequency (%)
03102
62.9%
0.2326
 
6.6%
0.4101
 
2.0%
0.663
 
1.3%
0.859
 
1.2%
138
 
0.8%
1.248
 
1.0%
1.440
 
0.8%
1.632
 
0.6%
1.829
 
0.6%
ValueCountFrequency (%)
146.61
< 0.1%
1191
< 0.1%
115.41
< 0.1%
114.61
< 0.1%
100.41
< 0.1%
93.81
< 0.1%
91.41
< 0.1%
851
< 0.1%
84.21
< 0.1%
841
< 0.1%

Rainfall_Monte_Serra
Real number (ℝ≥0)

ZEROS

Distinct260
Distinct (%)5.3%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.996506905
Minimum0
Maximum152.2
Zeros2919
Zeros (%)59.2%
Memory size38.6 KiB
2021-01-08T23:00:32.895572image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.6
95-th percentile25
Maximum152.2
Range152.2
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation10.94423755
Coefficient of variation (CV)2.738450805
Kurtosis36.99867954
Mean3.996506905
Median Absolute Deviation (MAD)0
Skewness4.999244751
Sum19678.8
Variance119.7763356
MonotocityNot monotonic
2021-01-08T23:00:33.090044image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02919
59.2%
0.2335
 
6.8%
0.4138
 
2.8%
0.885
 
1.7%
0.674
 
1.5%
155
 
1.1%
1.240
 
0.8%
238
 
0.8%
2.434
 
0.7%
1.629
 
0.6%
Other values (250)1177
23.9%
ValueCountFrequency (%)
02919
59.2%
0.2335
 
6.8%
0.4138
 
2.8%
0.674
 
1.5%
0.885
 
1.7%
155
 
1.1%
1.240
 
0.8%
1.427
 
0.5%
1.629
 
0.6%
1.828
 
0.6%
ValueCountFrequency (%)
152.21
< 0.1%
1342
< 0.1%
1331
< 0.1%
120.21
< 0.1%
1131
< 0.1%
1081
< 0.1%
1061
< 0.1%
1041
< 0.1%
991
< 0.1%
82.41
< 0.1%

Rainfall_Orentano
Real number (ℝ≥0)

ZEROS

Distinct233
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.196348884
Minimum0
Maximum108.8
Zeros2962
Zeros (%)60.1%
Memory size38.6 KiB
2021-01-08T23:00:33.300099image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile20.6
Maximum108.8
Range108.8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.800379175
Coefficient of variation (CV)2.753259889
Kurtosis26.43026249
Mean3.196348884
Median Absolute Deviation (MAD)0
Skewness4.454556154
Sum15758
Variance77.44667362
MonotocityNot monotonic
2021-01-08T23:00:33.499606image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02962
60.1%
0.2471
 
9.6%
0.4123
 
2.5%
0.671
 
1.4%
157
 
1.2%
0.848
 
1.0%
1.443
 
0.9%
1.236
 
0.7%
2.429
 
0.6%
229
 
0.6%
Other values (223)1061
 
21.5%
ValueCountFrequency (%)
02962
60.1%
0.2471
 
9.6%
0.4123
 
2.5%
0.671
 
1.4%
0.848
 
1.0%
157
 
1.2%
1.236
 
0.7%
1.443
 
0.9%
1.627
 
0.5%
1.825
 
0.5%
ValueCountFrequency (%)
108.81
< 0.1%
107.41
< 0.1%
91.41
< 0.1%
78.41
< 0.1%
74.81
< 0.1%
731
< 0.1%
72.21
< 0.1%
711
< 0.1%
68.61
< 0.1%
671
< 0.1%

Rainfall_Borgo_a_Mozzano
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct292
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.659107505
Minimum0
Maximum176.6
Zeros3102
Zeros (%)62.9%
Memory size38.6 KiB
2021-01-08T23:00:33.690102image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.8
95-th percentile28.8
Maximum176.6
Range176.6
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation12.98566227
Coefficient of variation (CV)2.787156608
Kurtosis37.74287771
Mean4.659107505
Median Absolute Deviation (MAD)0
Skewness5.142034053
Sum22969.4
Variance168.6274246
MonotocityNot monotonic
2021-01-08T23:00:33.875118image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03102
62.9%
0.2210
 
4.3%
0.486
 
1.7%
0.662
 
1.3%
0.854
 
1.1%
147
 
1.0%
1.645
 
0.9%
1.435
 
0.7%
1.835
 
0.7%
2.432
 
0.6%
Other values (282)1222
 
24.8%
ValueCountFrequency (%)
03102
62.9%
0.2210
 
4.3%
0.486
 
1.7%
0.662
 
1.3%
0.854
 
1.1%
147
 
1.0%
1.231
 
0.6%
1.435
 
0.7%
1.645
 
0.9%
1.835
 
0.7%
ValueCountFrequency (%)
176.61
< 0.1%
165.81
< 0.1%
153.61
< 0.1%
1381
< 0.1%
135.61
< 0.1%
1331
< 0.1%
124.61
< 0.1%
119.21
< 0.1%
118.21
< 0.1%
1181
< 0.1%

Rainfall_Piaggione
Real number (ℝ≥0)

MISSING
ZEROS

Distinct274
Distinct (%)6.0%
Missing365
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean4.018860898
Minimum0
Maximum140.8
Zeros2956
Zeros (%)60.0%
Memory size38.6 KiB
2021-01-08T23:00:34.071610image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.6
95-th percentile25.76
Maximum140.8
Range140.8
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation10.94068609
Coefficient of variation (CV)2.722335102
Kurtosis28.69632944
Mean4.018860898
Median Absolute Deviation (MAD)0
Skewness4.560029453
Sum18346.1
Variance119.6986122
MonotocityNot monotonic
2021-01-08T23:00:34.254389image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02956
60.0%
0.2142
 
2.9%
0.485
 
1.7%
0.669
 
1.4%
1.248
 
1.0%
0.843
 
0.9%
140
 
0.8%
1.832
 
0.6%
1.430
 
0.6%
230
 
0.6%
Other values (264)1090
 
22.1%
(Missing)365
 
7.4%
ValueCountFrequency (%)
02956
60.0%
0.12
 
< 0.1%
0.2142
 
2.9%
0.31
 
< 0.1%
0.485
 
1.7%
0.51
 
< 0.1%
0.669
 
1.4%
0.843
 
0.9%
0.91
 
< 0.1%
140
 
0.8%
ValueCountFrequency (%)
140.81
< 0.1%
123.81
< 0.1%
117.21
< 0.1%
114.41
< 0.1%
103.61
< 0.1%
99.61
< 0.1%
98.42
< 0.1%
89.61
< 0.1%
84.41
< 0.1%
811
< 0.1%

Rainfall_Calavorno
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct291
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.651643002
Minimum0
Maximum209
Zeros2870
Zeros (%)58.2%
Memory size38.6 KiB
2021-01-08T23:00:34.454262image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile28.2
Maximum209
Range209
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.62829533
Coefficient of variation (CV)2.714803205
Kurtosis35.93815937
Mean4.651643002
Median Absolute Deviation (MAD)0
Skewness4.860675052
Sum22932.6
Variance159.4738429
MonotocityNot monotonic
2021-01-08T23:00:34.640762image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02870
58.2%
0.2384
 
7.8%
0.4113
 
2.3%
0.671
 
1.4%
0.856
 
1.1%
142
 
0.9%
1.835
 
0.7%
1.233
 
0.7%
1.633
 
0.7%
1.433
 
0.7%
Other values (281)1260
25.6%
ValueCountFrequency (%)
02870
58.2%
0.2384
 
7.8%
0.4113
 
2.3%
0.671
 
1.4%
0.856
 
1.1%
142
 
0.9%
1.233
 
0.7%
1.433
 
0.7%
1.633
 
0.7%
1.835
 
0.7%
ValueCountFrequency (%)
2091
< 0.1%
155.81
< 0.1%
1271
< 0.1%
1231
< 0.1%
110.61
< 0.1%
109.81
< 0.1%
1031
< 0.1%
1001
< 0.1%
971
< 0.1%
96.81
< 0.1%

Rainfall_Croce_Arcana
Real number (ℝ≥0)

ZEROS

Distinct208
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.852089249
Minimum0
Maximum285
Zeros3021
Zeros (%)61.3%
Memory size38.6 KiB
2021-01-08T23:00:34.827502image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2
95-th percentile16
Maximum285
Range285
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation9.170555255
Coefficient of variation (CV)3.215381586
Kurtosis215.595831
Mean2.852089249
Median Absolute Deviation (MAD)0
Skewness10.25192234
Sum14060.8
Variance84.09908368
MonotocityNot monotonic
2021-01-08T23:00:35.005080image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03021
61.3%
0.2247
 
5.0%
0.4113
 
2.3%
0.697
 
2.0%
0.883
 
1.7%
182
 
1.7%
1.255
 
1.1%
246
 
0.9%
1.645
 
0.9%
1.842
 
0.9%
Other values (198)1099
 
22.3%
ValueCountFrequency (%)
03021
61.3%
0.2247
 
5.0%
0.4113
 
2.3%
0.697
 
2.0%
0.883
 
1.7%
182
 
1.7%
1.255
 
1.1%
1.440
 
0.8%
1.645
 
0.9%
1.842
 
0.9%
ValueCountFrequency (%)
2851
< 0.1%
1271
< 0.1%
116.61
< 0.1%
115.41
< 0.1%
112.61
< 0.1%
981
< 0.1%
93.61
< 0.1%
84.41
< 0.1%
741
< 0.1%
69.61
< 0.1%

Rainfall_Tereglio_Coreglia_Antelminelli
Real number (ℝ≥0)

ZEROS

Distinct276
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.270263692
Minimum0
Maximum147.2
Zeros2919
Zeros (%)59.2%
Memory size38.6 KiB
2021-01-08T23:00:35.183164image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.2
95-th percentile25.71
Maximum147.2
Range147.2
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation11.33314388
Coefficient of variation (CV)2.653968162
Kurtosis32.89615317
Mean4.270263692
Median Absolute Deviation (MAD)0
Skewness4.780640963
Sum21052.4
Variance128.4401503
MonotocityNot monotonic
2021-01-08T23:00:35.369711image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02919
59.2%
0.2307
 
6.2%
0.492
 
1.9%
0.678
 
1.6%
0.859
 
1.2%
1.244
 
0.9%
1.444
 
0.9%
142
 
0.9%
1.639
 
0.8%
1.838
 
0.8%
Other values (266)1268
25.7%
ValueCountFrequency (%)
02919
59.2%
0.2307
 
6.2%
0.492
 
1.9%
0.678
 
1.6%
0.859
 
1.2%
142
 
0.9%
1.244
 
0.9%
1.444
 
0.9%
1.639
 
0.8%
1.838
 
0.8%
ValueCountFrequency (%)
147.21
< 0.1%
1471
< 0.1%
126.81
< 0.1%
1231
< 0.1%
121.81
< 0.1%
106.41
< 0.1%
100.21
< 0.1%
98.81
< 0.1%
97.41
< 0.1%
96.81
< 0.1%

Rainfall_Fabbriche_di_Vallico
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct338
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.018701826
Minimum0
Maximum197
Zeros2810
Zeros (%)57.0%
Memory size38.6 KiB
2021-01-08T23:00:35.569183image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile35.6
Maximum197
Range197
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.51694222
Coefficient of variation (CV)2.744269894
Kurtosis32.42213377
Mean6.018701826
Median Absolute Deviation (MAD)0
Skewness4.919805364
Sum29672.2
Variance272.8093803
MonotocityNot monotonic
2021-01-08T23:00:35.762856image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02810
57.0%
0.2310
 
6.3%
0.4113
 
2.3%
0.669
 
1.4%
0.855
 
1.1%
149
 
1.0%
1.245
 
0.9%
1.644
 
0.9%
1.837
 
0.8%
1.437
 
0.8%
Other values (328)1361
27.6%
ValueCountFrequency (%)
02810
57.0%
0.2310
 
6.3%
0.4113
 
2.3%
0.669
 
1.4%
0.855
 
1.1%
149
 
1.0%
1.245
 
0.9%
1.437
 
0.8%
1.644
 
0.9%
1.837
 
0.8%
ValueCountFrequency (%)
1971
< 0.1%
180.61
< 0.1%
175.21
< 0.1%
172.61
< 0.1%
172.21
< 0.1%
163.81
< 0.1%
160.61
< 0.1%
159.41
< 0.1%
154.61
< 0.1%
151.81
< 0.1%

Depth_to_Groundwater_LT2
Real number (ℝ)

MISSING

Distinct342
Distinct (%)7.7%
Missing493
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean-13.24447374
Minimum-15.1
Maximum0
Zeros2
Zeros (%)< 0.1%
Memory size38.6 KiB
2021-01-08T23:00:35.960600image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-15.1
5-th percentile-14.92
Q1-14.08
median-12.94
Q3-12.49
95-th percentile-12.02
Maximum0
Range15.1
Interquartile range (IQR)1.59

Descriptive statistics

Standard deviation0.9724866679
Coefficient of variation (CV)-0.07342584437
Kurtosis14.16896324
Mean-13.24447374
Median Absolute Deviation (MAD)0.62
Skewness0.7049316047
Sum-58765.73
Variance0.9457303192
MonotocityNot monotonic
2021-01-08T23:00:36.147121image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12.9551
 
1.0%
-12.6946
 
0.9%
-12.4842
 
0.9%
-12.3141
 
0.8%
-12.7939
 
0.8%
-12.9439
 
0.8%
-12.8138
 
0.8%
-12.2536
 
0.7%
-12.4133
 
0.7%
-12.333
 
0.7%
Other values (332)4039
81.9%
(Missing)493
 
10.0%
ValueCountFrequency (%)
-15.12
 
< 0.1%
-15.092
 
< 0.1%
-15.082
 
< 0.1%
-15.072
 
< 0.1%
-15.064
 
0.1%
-15.058
0.2%
-15.047
0.1%
-15.0310
0.2%
-15.0213
0.3%
-15.019
0.2%
ValueCountFrequency (%)
02
 
< 0.1%
-11.661
 
< 0.1%
-11.681
 
< 0.1%
-11.722
 
< 0.1%
-11.731
 
< 0.1%
-11.741
 
< 0.1%
-11.751
 
< 0.1%
-11.764
0.1%
-11.775
0.1%
-11.785
0.1%

Depth_to_Groundwater_SAL
Real number (ℝ)

MISSING

Distinct312
Distinct (%)6.9%
Missing385
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean-5.651273927
Minimum-7
Maximum0
Zeros10
Zeros (%)0.2%
Memory size38.6 KiB
2021-01-08T23:00:36.345881image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-7
5-th percentile-6.65
Q1-6.04
median-5.68
Q3-5.3
95-th percentile-4.59
Maximum0
Range7
Interquartile range (IQR)0.74

Descriptive statistics

Standard deviation0.6429393953
Coefficient of variation (CV)-0.1137689313
Kurtosis12.27189291
Mean-5.651273927
Median Absolute Deviation (MAD)0.37
Skewness1.69000531
Sum-25685.04
Variance0.413371066
MonotocityNot monotonic
2021-01-08T23:00:36.527394image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.6549
 
1.0%
-5.7145
 
0.9%
-5.4344
 
0.9%
-5.7643
 
0.9%
-642
 
0.9%
-5.5440
 
0.8%
-5.6340
 
0.8%
-5.5740
 
0.8%
-5.7239
 
0.8%
-5.6939
 
0.8%
Other values (302)4124
83.7%
(Missing)385
 
7.8%
ValueCountFrequency (%)
-71
 
< 0.1%
-6.991
 
< 0.1%
-6.982
< 0.1%
-6.971
 
< 0.1%
-6.963
0.1%
-6.952
< 0.1%
-6.941
 
< 0.1%
-6.934
0.1%
-6.922
< 0.1%
-6.912
< 0.1%
ValueCountFrequency (%)
010
0.2%
-3.381
 
< 0.1%
-3.753
 
0.1%
-3.782
 
< 0.1%
-3.792
 
< 0.1%
-3.81
 
< 0.1%
-3.851
 
< 0.1%
-3.861
 
< 0.1%
-3.872
 
< 0.1%
-3.911
 
< 0.1%

Depth_to_Groundwater_PAG
Real number (ℝ)

MISSING

Distinct298
Distinct (%)7.8%
Missing1123
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean-1.98630155
Minimum-3.38
Maximum-0.09
Zeros0
Zeros (%)0.0%
Memory size38.6 KiB
2021-01-08T23:00:36.717885image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-3.38
5-th percentile-2.98
Q1-2.55
median-1.97
Q3-1.51
95-th percentile-0.89
Maximum-0.09
Range3.29
Interquartile range (IQR)1.04

Descriptive statistics

Standard deviation0.6656920914
Coefficient of variation (CV)-0.3351415053
Kurtosis-0.8412274527
Mean-1.98630155
Median Absolute Deviation (MAD)0.52
Skewness0.09889902475
Sum-7561.85
Variance0.4431459605
MonotocityNot monotonic
2021-01-08T23:00:36.903389image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.7730
 
0.6%
-1.8229
 
0.6%
-1.7629
 
0.6%
-2.928
 
0.6%
-228
 
0.6%
-1.6727
 
0.5%
-1.7527
 
0.5%
-1.8727
 
0.5%
-1.7427
 
0.5%
-1.6626
 
0.5%
Other values (288)3529
71.6%
(Missing)1123
 
22.8%
ValueCountFrequency (%)
-3.382
< 0.1%
-3.371
 
< 0.1%
-3.351
 
< 0.1%
-3.342
< 0.1%
-3.331
 
< 0.1%
-3.311
 
< 0.1%
-3.34
0.1%
-3.292
< 0.1%
-3.284
0.1%
-3.272
< 0.1%
ValueCountFrequency (%)
-0.092
< 0.1%
-0.241
 
< 0.1%
-0.32
< 0.1%
-0.351
 
< 0.1%
-0.361
 
< 0.1%
-0.381
 
< 0.1%
-0.421
 
< 0.1%
-0.433
0.1%
-0.441
 
< 0.1%
-0.472
< 0.1%

Depth_to_Groundwater_CoS
Real number (ℝ)

MISSING

Distinct531
Distinct (%)12.9%
Missing801
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean-6.273703076
Minimum-9.57
Maximum0
Zeros4
Zeros (%)0.1%
Memory size38.6 KiB
2021-01-08T23:00:37.107387image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-9.57
5-th percentile-8.68
Q1-7.43
median-6.11
Q3-5.06
95-th percentile-4.42
Maximum0
Range9.57
Interquartile range (IQR)2.37

Descriptive statistics

Standard deviation1.390210625
Coefficient of variation (CV)-0.2215933091
Kurtosis-0.7593803834
Mean-6.273703076
Median Absolute Deviation (MAD)1.16
Skewness-0.2297227203
Sum-25904.12
Variance1.932685581
MonotocityNot monotonic
2021-01-08T23:00:37.294924image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.1929
 
0.6%
-5.2426
 
0.5%
-4.924
 
0.5%
-4.8323
 
0.5%
-4.9522
 
0.4%
-5.1322
 
0.4%
-5.2321
 
0.4%
-5.1720
 
0.4%
-4.8920
 
0.4%
-6.7919
 
0.4%
Other values (521)3903
79.2%
(Missing)801
 
16.2%
ValueCountFrequency (%)
-9.571
 
< 0.1%
-9.532
< 0.1%
-9.491
 
< 0.1%
-9.431
 
< 0.1%
-9.391
 
< 0.1%
-9.381
 
< 0.1%
-9.371
 
< 0.1%
-9.361
 
< 0.1%
-9.351
 
< 0.1%
-9.343
0.1%
ValueCountFrequency (%)
04
0.1%
-3.951
 
< 0.1%
-3.961
 
< 0.1%
-4.042
< 0.1%
-4.051
 
< 0.1%
-4.071
 
< 0.1%
-4.081
 
< 0.1%
-4.092
< 0.1%
-4.12
< 0.1%
-4.111
 
< 0.1%

Depth_to_Groundwater_DIEC
Real number (ℝ)

MISSING

Distinct328
Distinct (%)10.0%
Missing1660
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean-3.918639144
Minimum-4.99
Maximum-1.03
Zeros0
Zeros (%)0.0%
Memory size38.6 KiB
2021-01-08T23:00:37.489405image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-4.99
5-th percentile-4.7555
Q1-4.43
median-4.06
Q3-3.55
95-th percentile-2.54
Maximum-1.03
Range3.96
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation0.6817528746
Coefficient of variation (CV)-0.173976947
Kurtosis1.005473235
Mean-3.918639144
Median Absolute Deviation (MAD)0.43
Skewness1.034598268
Sum-12813.95
Variance0.464786982
MonotocityNot monotonic
2021-01-08T23:00:37.690394image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.4239
 
0.8%
-4.4137
 
0.8%
-4.6934
 
0.7%
-4.3532
 
0.6%
-4.6830
 
0.6%
-4.6729
 
0.6%
-4.1128
 
0.6%
-4.2428
 
0.6%
-4.6427
 
0.5%
-4.4727
 
0.5%
Other values (318)2959
60.0%
(Missing)1660
33.7%
ValueCountFrequency (%)
-4.997
0.1%
-4.982
 
< 0.1%
-4.973
 
0.1%
-4.962
 
< 0.1%
-4.953
 
0.1%
-4.941
 
< 0.1%
-4.933
 
0.1%
-4.926
0.1%
-4.914
0.1%
-4.99
0.2%
ValueCountFrequency (%)
-1.031
< 0.1%
-1.042
< 0.1%
-1.161
< 0.1%
-1.281
< 0.1%
-1.291
< 0.1%
-1.371
< 0.1%
-1.411
< 0.1%
-1.451
< 0.1%
-1.491
< 0.1%
-1.511
< 0.1%

Temperature_Orentano
Real number (ℝ)

HIGH CORRELATION

Distinct587
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.04699797
Minimum-4.65
Maximum30.95
Zeros0
Zeros (%)0.0%
Memory size38.6 KiB
2021-01-08T23:00:37.890882image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-4.65
5-th percentile4.1
Q19.45
median14.85
Q320.8
95-th percentile25.9775
Maximum30.95
Range35.6
Interquartile range (IQR)11.35

Descriptive statistics

Standard deviation6.967564923
Coefficient of variation (CV)0.4630534899
Kurtosis-0.9634126211
Mean15.04699797
Median Absolute Deviation (MAD)5.65
Skewness-0.02854381984
Sum74181.7
Variance48.54696096
MonotocityNot monotonic
2021-01-08T23:00:38.083883image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.8522
 
0.4%
9.1522
 
0.4%
1420
 
0.4%
23.3519
 
0.4%
19.719
 
0.4%
19.9518
 
0.4%
10.718
 
0.4%
16.9518
 
0.4%
11.9518
 
0.4%
19.2518
 
0.4%
Other values (577)4738
96.1%
ValueCountFrequency (%)
-4.651
< 0.1%
-4.251
< 0.1%
-4.051
< 0.1%
-2.61
< 0.1%
-2.251
< 0.1%
-22
< 0.1%
-1.851
< 0.1%
-1.61
< 0.1%
-1.31
< 0.1%
-0.91
< 0.1%
ValueCountFrequency (%)
30.951
< 0.1%
30.71
< 0.1%
29.51
< 0.1%
29.451
< 0.1%
29.31
< 0.1%
29.251
< 0.1%
29.21
< 0.1%
29.152
< 0.1%
29.052
< 0.1%
28.951
< 0.1%

Temperature_Monte_Serra
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct590
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.43960446
Minimum-7.85
Maximum28.1
Zeros91
Zeros (%)1.8%
Memory size38.6 KiB
2021-01-08T23:00:38.273376image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-7.85
5-th percentile0.6725
Q16.2
median11.125
Q316.7
95-th percentile22.25
Maximum28.1
Range35.95
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.661711433
Coefficient of variation (CV)0.5823375672
Kurtosis-0.8184388913
Mean11.43960446
Median Absolute Deviation (MAD)5.225
Skewness0.07291928106
Sum56397.25
Variance44.37839921
MonotocityNot monotonic
2021-01-08T23:00:38.459058image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
091
 
1.8%
5.823
 
0.5%
7.8522
 
0.4%
5.422
 
0.4%
6.922
 
0.4%
6.9521
 
0.4%
8.321
 
0.4%
6.620
 
0.4%
8.620
 
0.4%
11.0520
 
0.4%
Other values (580)4648
94.3%
ValueCountFrequency (%)
-7.851
< 0.1%
-7.051
< 0.1%
-71
< 0.1%
-6.41
< 0.1%
-5.851
< 0.1%
-5.551
< 0.1%
-4.851
< 0.1%
-4.71
< 0.1%
-4.61
< 0.1%
-4.551
< 0.1%
ValueCountFrequency (%)
28.11
< 0.1%
27.851
< 0.1%
27.81
< 0.1%
27.651
< 0.1%
27.32
< 0.1%
27.251
< 0.1%
27.21
< 0.1%
27.051
< 0.1%
26.952
< 0.1%
26.851
< 0.1%

Temperature_Ponte_a_Moriano
Real number (ℝ)

ZEROS

Distinct554
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.70851927
Minimum-2.85
Maximum30.65
Zeros1480
Zeros (%)30.0%
Memory size38.6 KiB
2021-01-08T23:00:38.655760image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-2.85
5-th percentile0
Q10
median10.7
Q318.5
95-th percentile24.95
Maximum30.65
Range33.5
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation8.92320329
Coefficient of variation (CV)0.83328078
Kurtosis-1.316235767
Mean10.70851927
Median Absolute Deviation (MAD)9.45
Skewness0.1533542418
Sum52793
Variance79.62355695
MonotocityNot monotonic
2021-01-08T23:00:38.835263image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01480
30.0%
2018
 
0.4%
15.316
 
0.3%
1216
 
0.3%
18.516
 
0.3%
15.516
 
0.3%
17.2514
 
0.3%
21.8514
 
0.3%
9.114
 
0.3%
12.313
 
0.3%
Other values (544)3313
67.2%
ValueCountFrequency (%)
-2.851
 
< 0.1%
-1.551
 
< 0.1%
-1.251
 
< 0.1%
-1.151
 
< 0.1%
-0.41
 
< 0.1%
-0.21
 
< 0.1%
-0.051
 
< 0.1%
01480
30.0%
0.151
 
< 0.1%
0.252
 
< 0.1%
ValueCountFrequency (%)
30.651
< 0.1%
30.351
< 0.1%
29.851
< 0.1%
29.81
< 0.1%
29.351
< 0.1%
29.21
< 0.1%
29.151
< 0.1%
29.11
< 0.1%
29.051
< 0.1%
28.81
< 0.1%

Temperature_Lucca_Orto_Botanico
Real number (ℝ)

HIGH CORRELATION

Distinct590
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.61495943
Minimum-3.3
Maximum30.35
Zeros1
Zeros (%)< 0.1%
Memory size38.6 KiB
2021-01-08T23:00:39.025265image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-3.3
5-th percentile4.65
Q19.85
median15.425
Q321.6
95-th percentile26.6
Maximum30.35
Range33.65
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation7.060147631
Coefficient of variation (CV)0.4521399919
Kurtosis-1.023745534
Mean15.61495943
Median Absolute Deviation (MAD)5.825
Skewness-0.02243118529
Sum76981.75
Variance49.84568457
MonotocityNot monotonic
2021-01-08T23:00:39.210373image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.921
 
0.4%
25.1521
 
0.4%
13.9520
 
0.4%
9.7519
 
0.4%
10.219
 
0.4%
2018
 
0.4%
9.5518
 
0.4%
13.5518
 
0.4%
18.0518
 
0.4%
22.4517
 
0.3%
Other values (580)4741
96.2%
ValueCountFrequency (%)
-3.31
< 0.1%
-3.151
< 0.1%
-2.851
< 0.1%
-1.51
< 0.1%
-1.151
< 0.1%
-11
< 0.1%
-0.751
< 0.1%
-0.151
< 0.1%
-0.12
< 0.1%
01
< 0.1%
ValueCountFrequency (%)
30.351
 
< 0.1%
29.951
 
< 0.1%
29.91
 
< 0.1%
29.81
 
< 0.1%
29.751
 
< 0.1%
29.72
< 0.1%
29.61
 
< 0.1%
29.552
< 0.1%
29.51
 
< 0.1%
29.454
0.1%

Volume_POL
Real number (ℝ)

Distinct324
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8897.597653
Minimum-12789.64516
Maximum-4114.6704
Zeros0
Zeros (%)0.0%
Memory size38.6 KiB
2021-01-08T23:00:39.405851image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-12789.64516
5-th percentile-11776.73333
Q1-10500
median-9214.781184
Q3-6975.903226
95-th percentile-5421.6
Maximum-4114.6704
Range8674.97476
Interquartile range (IQR)3524.096774

Descriptive statistics

Standard deviation2036.525212
Coefficient of variation (CV)-0.2288848396
Kurtosis-1.034526046
Mean-8897.597653
Median Absolute Deviation (MAD)1641.885486
Skewness0.2914432421
Sum-43865156.43
Variance4147434.938
MonotocityNot monotonic
2021-01-08T23:00:39.599549image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12087.1132927
 
0.5%
-10943.42427
 
0.5%
-7141.82427
 
0.5%
-12097.7899427
 
0.5%
-4663.00827
 
0.5%
-8309.41612927
 
0.5%
-9693.21627
 
0.5%
-11492.6774227
 
0.5%
-9858.87201627
 
0.5%
-8901.91209627
 
0.5%
Other values (314)4660
94.5%
ValueCountFrequency (%)
-12789.6451626
0.5%
-12420.3705826
0.5%
-12334.3829326
0.5%
-12150.16295
 
0.1%
-12097.7899427
0.5%
-12087.1132927
0.5%
-11949.326
0.5%
-11906.6666725
0.5%
-11877.4193527
0.5%
-11799.352055
 
0.1%
ValueCountFrequency (%)
-4114.67045
 
0.1%
-4331.23225
0.5%
-4429.85764
 
0.1%
-4663.00827
0.5%
-4947.78244
 
0.1%
-4958.9926534
 
0.1%
-4971.8296585
 
0.1%
-5087.853714
 
0.1%
-5129.17924
 
0.1%
-5150.524
 
0.1%

Volume_CC1
Real number (ℝ)

Distinct312
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16148.61172
Minimum-18601.92
Maximum-7149.791935
Zeros0
Zeros (%)0.0%
Memory size38.6 KiB
2021-01-08T23:00:39.778039image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-18601.92
5-th percentile-17794.08
Q1-16924.896
median-16373.664
Q3-15759.6192
95-th percentile-14673.30215
Maximum-7149.791935
Range11452.12806
Interquartile range (IQR)1165.2768

Descriptive statistics

Standard deviation1515.094922
Coefficient of variation (CV)-0.09382199217
Kurtosis13.43544369
Mean-16148.61172
Median Absolute Deviation (MAD)593.568
Skewness3.076148636
Sum-79612655.77
Variance2295512.623
MonotocityNot monotonic
2021-01-08T23:00:39.987887image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16675.254
 
1.1%
-16647.55253
 
1.1%
-17794.0853
 
1.1%
-15837.1252
 
1.1%
-15958.0852
 
1.1%
-17193.651
 
1.0%
-15365.7023427
 
0.5%
-16224.1858127
 
0.5%
-16044.4827
 
0.5%
-16674.33627
 
0.5%
Other values (302)4507
91.4%
ValueCountFrequency (%)
-18601.9227
0.5%
-18272.73626
0.5%
-18234.7227
0.5%
-18046.36826
0.5%
-18017.85624
0.5%
-17982.43227
0.5%
-17880.4826
0.5%
-17843.32826
0.5%
-17801.85626
0.5%
-17794.0853
1.1%
ValueCountFrequency (%)
-7149.7919355
 
0.1%
-7455.5054
 
0.1%
-7526.09677426
0.5%
-7847.926
0.5%
-9384.5433334
 
0.1%
-9878.46666726
0.5%
-10770.215524
 
0.1%
-10865.425815
 
0.1%
-11045.220974
 
0.1%
-11337.0689725
0.5%

Volume_CC2
Real number (ℝ)

Distinct318
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-11661.73345
Minimum-14438.304
Maximum-5569.298387
Zeros0
Zeros (%)0.0%
Memory size38.6 KiB
2021-01-08T23:00:40.181337image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-14438.304
5-th percentile-13558.752
Q1-12723.264
median-11889.09626
Q3-10885.536
95-th percentile-9208.5552
Maximum-5569.298387
Range8869.005613
Interquartile range (IQR)1837.728

Descriptive statistics

Standard deviation1473.281661
Coefficient of variation (CV)-0.1263347055
Kurtosis3.117780805
Mean-11661.73345
Median Absolute Deviation (MAD)888.59974
Skewness1.345374444
Sum-57492345.91
Variance2170558.854
MonotocityNot monotonic
2021-01-08T23:00:40.366841image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11509.34453
 
1.1%
-12044.1652
 
1.1%
-12341.37652
 
1.1%
-11443.6827
 
0.5%
-12579.8427
 
0.5%
-11458.3437427
 
0.5%
-12370.75227
 
0.5%
-12208.3227
 
0.5%
-11241.3832327
 
0.5%
-9685.4427
 
0.5%
Other values (308)4584
93.0%
ValueCountFrequency (%)
-14438.30427
0.5%
-14208.4826
0.5%
-14103.93626
0.5%
-13875.8426
0.5%
-13716.38884
 
0.1%
-1371627
0.5%
-13668.4826
0.5%
-13655.5226
0.5%
-13633.9227
0.5%
-13564.827
0.5%
ValueCountFrequency (%)
-5569.2983875
 
0.1%
-5732.2344834
 
0.1%
-5767.6338714
 
0.1%
-5862.41935526
0.5%
-6033.93103425
0.5%
-6071.19354827
0.5%
-6700.4743834
 
0.1%
-7053.1309326
0.5%
-7293.3951615
 
0.1%
-7677.25806526
0.5%

Volume_CSA
Real number (ℝ)

ZEROS

Distinct157
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2700.913452
Minimum-7757.258065
Maximum0
Zeros2557
Zeros (%)51.9%
Memory size38.6 KiB
2021-01-08T23:00:40.586254image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-7757.258065
5-th percentile-6808.766667
Q1-5686.321429
median0
Q30
95-th percentile0
Maximum0
Range7757.258065
Interquartile range (IQR)5686.321429

Descriptive statistics

Standard deviation2900.304217
Coefficient of variation (CV)-1.073823456
Kurtosis-1.752594609
Mean-2700.913452
Median Absolute Deviation (MAD)0
Skewness-0.2499111933
Sum-13315503.32
Variance8411764.553
MonotocityNot monotonic
2021-01-08T23:00:40.784239image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02557
51.9%
-6197.8387127
 
0.5%
-6378.96774227
 
0.5%
-4835.67741927
 
0.5%
-591127
 
0.5%
-6235.29032327
 
0.5%
-6786.1612927
 
0.5%
-4670.90322627
 
0.5%
-601227
 
0.5%
-5106.06451627
 
0.5%
Other values (147)2130
43.2%
ValueCountFrequency (%)
-7757.25806526
0.5%
-7748.58064527
0.5%
-7508.51612927
0.5%
-7369.3951615
 
0.1%
-7361.1516134
 
0.1%
-7349.09677426
0.5%
-728027
0.5%
-7217.12903227
0.5%
-7133.0903234
 
0.1%
-6981.6419355
 
0.1%
ValueCountFrequency (%)
02557
51.9%
-2425.411294
 
0.1%
-2461.9254
 
0.1%
-2553.06451627
 
0.5%
-2591.526
 
0.5%
-2932.1596775
 
0.1%
-3086.48387126
 
0.5%
-3153.6068974
 
0.1%
-3319.58620725
 
0.5%
-3630.4403235
 
0.1%

Volume_CSAL
Real number (ℝ)

ZEROS

Distinct157
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2279.814745
Minimum-9497.774194
Maximum0
Zeros2557
Zeros (%)51.9%
Memory size38.6 KiB
2021-01-08T23:00:40.987732image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-9497.774194
5-th percentile-6016.645161
Q1-4440.354839
median0
Q30
95-th percentile0
Maximum0
Range9497.774194
Interquartile range (IQR)4440.354839

Descriptive statistics

Standard deviation2589.094282
Coefficient of variation (CV)-1.135659943
Kurtosis-0.6792634794
Mean-2279.814745
Median Absolute Deviation (MAD)0
Skewness-0.6331128141
Sum-11239486.69
Variance6703409.201
MonotocityNot monotonic
2021-01-08T23:00:41.169879image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02557
51.9%
-4449.61290327
 
0.5%
-3561.19354827
 
0.5%
-5011.67741927
 
0.5%
-4375.61290327
 
0.5%
-4255.67741927
 
0.5%
-4435.32258127
 
0.5%
-3224.35483927
 
0.5%
-3680.8387127
 
0.5%
-7433.1612927
 
0.5%
Other values (147)2130
43.2%
ValueCountFrequency (%)
-9497.77419427
0.5%
-9478.33333326
0.5%
-9179.1612926
0.5%
-9022.8854844
 
0.1%
-9004.4166674
 
0.1%
-8772.87096826
0.5%
-8720.2032265
 
0.1%
-8334.2274195
 
0.1%
-7956.826
0.5%
-7857.20689725
0.5%
ValueCountFrequency (%)
02557
51.9%
-318.4338715
 
0.1%
-335.193548426
 
0.5%
-2573.6454
 
0.1%
-2709.126
 
0.5%
-2777.5854845
 
0.1%
-2821.2854845
 
0.1%
-2870.6154
 
0.1%
-2923.77419426
 
0.5%
-2969.77419426
 
0.5%

Hydrometry_Monte_S_Quirico
Real number (ℝ≥0)

MISSING

Distinct143
Distinct (%)3.0%
Missing91
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.2976937384
Minimum0
Maximum2.17
Zeros1
Zeros (%)< 0.1%
Memory size38.6 KiB
2021-01-08T23:00:41.358915image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.14
median0.23
Q30.38
95-th percentile0.72
Maximum2.17
Range2.17
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.2235383196
Coefficient of variation (CV)0.7509003073
Kurtosis6.987666579
Mean0.2976937384
Median Absolute Deviation (MAD)0.11
Skewness2.124553056
Sum1440.54
Variance0.04996938035
MonotocityNot monotonic
2021-01-08T23:00:41.695019image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.18211
 
4.3%
0.14180
 
3.7%
0.09174
 
3.5%
0.1167
 
3.4%
0.12165
 
3.3%
0.11162
 
3.3%
0.08154
 
3.1%
0.19152
 
3.1%
0.16151
 
3.1%
0.17141
 
2.9%
Other values (133)3182
64.5%
ValueCountFrequency (%)
01
 
< 0.1%
0.0514
 
0.3%
0.0633
 
0.7%
0.0775
1.5%
0.08154
3.1%
0.09174
3.5%
0.1167
3.4%
0.11162
3.3%
0.12165
3.3%
0.13130
2.6%
ValueCountFrequency (%)
2.171
< 0.1%
1.871
< 0.1%
1.791
< 0.1%
1.732
< 0.1%
1.671
< 0.1%
1.631
< 0.1%
1.582
< 0.1%
1.571
< 0.1%
1.561
< 0.1%
1.531
< 0.1%

Hydrometry_Piaggione
Real number (ℝ)

MISSING

Distinct278
Distinct (%)7.1%
Missing1016
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean-0.6720797138
Minimum-1.19
Maximum3.69
Zeros28
Zeros (%)0.6%
Memory size38.6 KiB
2021-01-08T23:00:41.948341image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-1.19
5-th percentile-1.1
Q1-1.05
median-0.97
Q3-0.5625
95-th percentile0.5
Maximum3.69
Range4.88
Interquartile range (IQR)0.4875

Descriptive statistics

Standard deviation0.6288803837
Coefficient of variation (CV)-0.9357229071
Kurtosis5.689182129
Mean-0.6720797138
Median Absolute Deviation (MAD)0.1
Skewness2.157068906
Sum-2630.52
Variance0.395490537
MonotocityNot monotonic
2021-01-08T23:00:42.151796image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.07166
 
3.4%
-1.06165
 
3.3%
-1.01157
 
3.2%
-1.05157
 
3.2%
-1145
 
2.9%
-1.08132
 
2.7%
-0.99128
 
2.6%
-1.04124
 
2.5%
-1.03124
 
2.5%
-1.09122
 
2.5%
Other values (268)2494
50.6%
(Missing)1016
20.6%
ValueCountFrequency (%)
-1.197
 
0.1%
-1.189
 
0.2%
-1.1722
 
0.4%
-1.1624
 
0.5%
-1.1522
 
0.4%
-1.1421
 
0.4%
-1.1319
 
0.4%
-1.1230
0.6%
-1.1140
0.8%
-1.165
1.3%
ValueCountFrequency (%)
3.691
< 0.1%
3.391
< 0.1%
3.361
< 0.1%
3.261
< 0.1%
3.241
< 0.1%
2.961
< 0.1%
2.841
< 0.1%
2.691
< 0.1%
2.581
< 0.1%
2.511
< 0.1%

Interactions

2021-01-08T22:58:20.405439image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:21.298885image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:21.457431image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:21.622981image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:21.770618image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:21.919190image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:22.067827image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:22.204425image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:22.349077image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:22.501662image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:22.651691image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:22.802288image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:22.949894image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:23.097506image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:23.275025image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:23.487455image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:23.682934image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-08T22:58:23.838515image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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Correlations

2021-01-08T23:00:42.403143image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-01-08T23:00:42.988458image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-01-08T23:00:43.557967image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-01-08T23:00:44.126451image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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A simple visualization of nullity by column.
2021-01-08T23:00:30.116991image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-01-08T23:00:30.576720image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-01-08T23:00:30.937879image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

df_indexDateRainfall_GallicanoRainfall_PontetettoRainfall_Monte_SerraRainfall_OrentanoRainfall_Borgo_a_MozzanoRainfall_PiaggioneRainfall_CalavornoRainfall_Croce_ArcanaRainfall_Tereglio_Coreglia_AntelminelliRainfall_Fabbriche_di_VallicoDepth_to_Groundwater_LT2Depth_to_Groundwater_SALDepth_to_Groundwater_PAGDepth_to_Groundwater_CoSDepth_to_Groundwater_DIECTemperature_OrentanoTemperature_Monte_SerraTemperature_Ponte_a_MorianoTemperature_Lucca_Orto_BotanicoVolume_POLVolume_CC1Volume_CC2Volume_CSAVolume_CSALHydrometry_Monte_S_QuiricoHydrometry_Piaggione
0322401/01/20074.08.425.69.66.010.64.21.821.65.2-15.08NaNNaN-6.23NaN13.850.00.013.15-11492.67742-17254.080-12727.878710.00.00.24NaN
1322502/01/200728.612.00.26.632.839.434.48.89.038.8-14.97NaNNaN-6.10NaN12.850.00.09.70-11492.67742-17254.080-12727.878710.00.00.48NaN
2322603/01/20070.00.00.00.00.20.00.20.20.00.0-15.05NaNNaN-6.16NaN6.400.00.06.00-11492.67742-17254.080-12727.878710.00.00.40NaN
3322704/01/20070.00.00.00.00.00.00.00.07.80.0-15.02NaNNaN-6.11NaN5.800.00.03.10-11492.67742-17254.080-12727.878710.00.00.36NaN
4322805/01/20077.60.00.00.05.42.25.80.00.07.0-15.00NaNNaN-6.06NaN3.850.00.08.05-11492.67742-17254.080-12727.878710.00.00.33NaN
5322906/01/20070.00.00.00.00.20.00.00.00.00.2-15.05NaNNaN-6.08NaN6.700.00.06.20-11492.67742-17254.080-12727.878710.00.00.32NaN
6323007/01/20070.62.015.60.60.20.20.40.43.61.2-15.03NaNNaN-6.05NaN6.700.00.07.80-10918.04355-16391.376-12091.484770.00.00.27NaN
7323108/01/200724.417.224.814.024.614.632.85.238.438.4-14.98NaNNaN-5.98NaN9.100.00.012.25-11492.67742-17254.080-12727.878710.00.00.440.65
8323209/01/200717.017.28.29.05.85.626.62.00.231.8-15.01NaNNaN-5.97NaN12.400.00.011.60-11492.67742-17254.080-12727.878710.00.00.641.28
9323310/01/20070.00.20.20.20.00.00.20.00.00.0-15.04NaNNaN-5.95NaN9.400.00.08.95-11492.67742-17254.080-12727.878710.00.00.500.64

Last rows

df_indexDateRainfall_GallicanoRainfall_PontetettoRainfall_Monte_SerraRainfall_OrentanoRainfall_Borgo_a_MozzanoRainfall_PiaggioneRainfall_CalavornoRainfall_Croce_ArcanaRainfall_Tereglio_Coreglia_AntelminelliRainfall_Fabbriche_di_VallicoDepth_to_Groundwater_LT2Depth_to_Groundwater_SALDepth_to_Groundwater_PAGDepth_to_Groundwater_CoSDepth_to_Groundwater_DIECTemperature_OrentanoTemperature_Monte_SerraTemperature_Ponte_a_MorianoTemperature_Lucca_Orto_BotanicoVolume_POLVolume_CC1Volume_CC2Volume_CSAVolume_CSALHydrometry_Monte_S_QuiricoHydrometry_Piaggione
4920814421/06/20200.00.40.00.00.00.00.00.00.00.0-12.31-5.38-1.78-5.39-3.7821.3518.350.022.40-6829.936207-7455.505-8724.261667-5809.63-3000.10.32-1.01
4921814522/06/20200.00.00.00.00.00.00.00.00.00.0-12.33-5.43-1.85-5.39-3.7923.1520.750.023.05-7189.406533-7847.900-9183.433333-6115.40-3158.00.31-1.02
4922814623/06/20200.00.00.00.00.00.00.00.00.00.0-12.34-5.35-1.92-5.44-3.8123.3021.550.024.30-7189.406533-7847.900-9183.433333-6115.40-3158.00.27-1.03
4923814724/06/20200.00.00.00.00.00.00.00.00.00.0-12.35-5.46-1.97-5.51-3.8224.3021.650.025.00-7189.406533-7847.900-9183.433333-6115.40-3158.00.25-1.04
4924814825/06/20200.00.00.00.00.00.00.00.00.00.0-12.35-5.57-2.03-5.59-3.8223.0520.250.024.20-7189.406533-7847.900-9183.433333-6115.40-3158.00.21-1.05
4925814926/06/20200.00.00.00.00.00.00.00.00.00.0-12.360.00-2.040.00-3.8323.2020.750.023.75-7189.406533-7847.900-9183.433333-6115.40-3158.00.20-1.03
4926815027/06/20200.00.00.00.00.00.00.00.00.00.0-12.36-5.50-2.10-5.71-3.8423.6021.350.024.30-7189.406533-7847.900-9183.433333-6115.40-3158.00.21-1.03
4927815128/06/20200.00.00.00.00.00.00.00.00.00.0-12.37-5.49-2.14-5.73-3.8424.0021.750.024.55-6829.936207-7455.505-8724.261667-5809.63-3000.10.23-1.03
4928815229/06/20200.00.00.00.00.00.00.00.00.00.0-12.36-5.50-2.15-5.73-3.8422.4018.900.023.60-7189.406533-7847.900-9183.433333-6115.40-3158.00.23-1.02
4929815330/06/20200.00.00.00.00.00.00.00.00.00.0-12.38-5.56-2.17-5.76-3.8523.9519.900.025.05-7189.406533-7847.900-9183.433333-6115.40-3158.00.21-1.05